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Syn10kplusog Oct ViT Base 8Epochs V1

Developed by g30rv17ys
An image classification model based on the ViT architecture, achieving 88.67% accuracy after 8 epochs of training
Downloads 13
Release Time : 10/17/2022

Model Overview

This model is an image classification model based on the Vision Transformer (ViT) architecture, primarily used for image classification tasks.

Model Features

High accuracy
Achieves 88.67% accuracy on the test set
Based on ViT architecture
Utilizes the Vision Transformer architecture, suitable for processing image data
Efficient training
Only requires 8 epochs to achieve good performance

Model Capabilities

Image classification
Visual feature extraction

Use Cases

Medical imaging
OCT image classification
Used for classifying Optical Coherence Tomography (OCT) images
88.67% accuracy
Industrial inspection
Product quality inspection
Used for automatic product quality inspection on production lines
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